What was the most technically challenging task you had to figure out?

One of the most challenging tasks was to optimize a high-load service in Go that handled thousands of requests per second with minimal latency. The problem was that during peak loads, memory leaks and performance drops occurred.

To solve this, I had to:

• Use profiling (pprof) to identify bottlenecks and leaks.
• Rewrite parts of the code where goroutines were actively created without control, leading to their accumulation.
• Implement a goroutine pool and limit the number of concurrently running tasks.
• Optimize channel operations and synchronization to avoid deadlocks.
• Switch to more efficient data structures and algorithms for critical sections.

This experience taught me to understand the internal structure of Go more deeply, the importance of profiling, and careful management of concurrency.